Demographics details for Avon lake, OH vs Seaside, CA
Population Overview
Compare main population characteristics in Avon lake, OH vs Seaside, CA.
Data | Avon lake | Seaside |
---|---|---|
Population | 25,617 | 31,478 |
Median Age | 45.2 years | 34.0 years |
Median Income | $103,946 | $80,239 |
Married Families | 49.0% | 36.0% |
Poverty Level | Data is updating | 13% |
Unemployment Rate | 4.0 | 4.1 |
Population Comparison: Avon lake vs Seaside
- The population in Seaside is higher at 31,478, compared to 25,617 in Avon lake.
- Residents in Avon lake have a higher median age of 45.2 years compared to 34.0 years in Seaside.
- Avon lake has a higher median income of $103,946 compared to $80,239 in Seaside.
- A higher percentage of married families is found in Avon lake at 49.0% compared to 36.0% in Seaside.
- The poverty level is higher in Seaside at 13%, compared to 0% in Avon lake.
- Seaside has a higher unemployment rate at 4.1% compared to 4.0% in Avon lake.
Demographics
Demographics Avon lake vs Seaside provide insight into the diversity of the communities to compare.
Demographic | Avon lake | Seaside |
---|---|---|
Black | 1 | 6 |
White | 91 | 24 |
Asian | 3 | 11 |
Hispanic | 2 | 46 |
Two or More Races | 3 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Avon lake vs Seaside
- In Seaside, the percentage of Black residents is higher at 6% compared to 1% in Avon lake.
- Avon lake has a higher percentage of White residents at 91% compared to 24% in Seaside.
- In Seaside, the Asian population stands at 11%, greater than 3% in Avon lake.
- Seaside has a higher percentage of Hispanic residents at 46%, compared to 2% in Avon lake.
- The percentage of residents identifying as two or more races is higher in Seaside at 13%, compared to 3% in Avon lake.
- The percentage of American Indian residents is the same in both Avon lake and Seaside at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Avon lake | Seaside |
---|---|---|
Mental Health Not Good | 14.4% | 16.5% |
Physical Health Not Good | 8.8% | 12.1% |
Depression | 21.3% | 18.8% |
Smoking | 13.6% | 13.4% |
Binge Drinking | 21.0% | 15.1% |
Obesity | 32.4% | 27.5% |
Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Avon lake vs Seaside
- In Seaside, a higher percentage report poor mental health at 16.5% compared to 14.4% in Avon lake.
- Depression is more prevalent in Avon lake at 21.3% compared to 18.8% in Seaside.
- Smoking is more prevalent in Avon lake at 13.6% compared to 13.4% in Seaside.
- Binge drinking is more common in Avon lake at 21.0% compared to 15.1% in Seaside.
- Obesity rates are higher in Avon lake at 32.4% compared to 27.5% in Seaside.
- There is a higher percentage of disabled individuals in Seaside at 11.0% compared to 8.0% in Avon lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Avon lake | Seaside |
---|---|---|
No Schooling | 0.3% (84) | 1.8% (565) |
High School Diploma | 10.7% (2,732) | 12.2% (3,848) |
Less than High School | 2.8% (722) | 22.0% (6,935) |
Bachelor's Degree and Higher | 38.3% (9,818) | 16.5% (5,200) |
Education Levels Comparison: Avon lake vs Seaside
- In Seaside, a larger percentage of residents lack formal schooling at 1.8% compared to 0.3% in Avon lake.
- In Seaside, the rate of residents with high school diplomas is higher at 12.2% compared to 10.7% in Avon lake.
- The percentage of residents with less than a high school education is higher in Seaside at 22.0%, compared to 2.8% in Avon lake.
- A higher percentage of residents in Avon lake hold a bachelor's degree or higher at 38.3% compared to 16.5% in Seaside.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.